Full-Time

Kubernetes Platform Engineer

Private AI

Posted on 12/13/2025

Deadline 1/20/26
Broadcom Limited

Broadcom Limited

10,001+ employees

Semiconductor products and infrastructure software provider

Compensation Overview

$108k - $192k/yr

+ Bonus + Equity

No H1B Sponsorship

Sonoma, CA, USA + 1 more

More locations: Austin, TX, USA

In Person

Category
DevOps & Infrastructure (2)
,
Requirements
  • Ability to succeed on an take-home distributed systems homework assignment and in-person technical interview including coding and debugging
  • 5+ years experience in scalable distributed systems in Go or C++
  • 5+ years of hands on experience with Container technologies (Docker and Kubernetes)
  • Proven knowledge of systems design
  • Strong analytical and diagnostic skills with ability to work independently
  • Excellent communication and collaboration skills, with the ability to work with cross-functional teams
  • Experience with agile development methodologies and version control systems, such as Git
  • BS in Computer Science or related technical fields and 8+ years of related experience in the software industry or MS in Computer Science or related technical fields and 6+ years of related experience in the software industry
  • Candidate should not require sponsorship
Responsibilities
  • Collaborate with cross-functional teams to design and deliver expanded capabilities of Kubernetes-based platform services for AI
  • Own the AI platform’s end user / in-product CLI across all components, help guide other teams in how to deliver CLI based experience for the platform
  • Decompose vague problems into detailed requirements, and develop solutions that meet the needs of our customers
  • Develop and maintain automated tests to ensure the quality and reliability of the Private AI feature set
  • Participate in code reviews and ensure that the code is aligned with VMware's coding standards and best practices
  • Troubleshoot and resolve complex issues related to Private AI services and how those services interface with other components of the stack such as storage, networking, etc.
Desired Qualifications
  • Hands on experience deploying and maintaining Kubernetes Operators is a big plus
  • Experience participating in upstream Kubernetes and related CNCF projects as a contributor is a major plus

Broadcom designs and sells semiconductors and infrastructure software for data centers, telecom networks, and consumer devices. Its semiconductors include processors, switches, storage controllers, and networking chips; its software portfolio includes DX Unified Infrastructure Management for observability across traditional and cloud environments. The company differentiates itself by offering a large, integrated portfolio that combines high-performance hardware with enterprise-grade software for a wide range of customers. Its goal is to help customers build fast, reliable, and scalable IT infrastructure at scale.

Company Size

10,001+

Company Stage

IPO

Headquarters

Palo Alto, California

Founded

2005

Simplify Jobs

Simplify's Take

What believers are saying

  • Q2 AI revenue guidance of $10.7B implies 140% YoY growth, accelerating adoption.
  • $35B private credit financing from Apollo and Blackstone funds custom chip production.
  • 56% of organizations plan private cloud AI inference, driving VCF 9.1 demand.

What critics are saying

  • Microsoft commits only 40% chip purchases for OpenAI partnership, creating $18B exposure.
  • Nvidia launches competitive custom silicon, eroding Broadcom's differentiation and margins.
  • TSMC raises wafer prices 10-15%, compressing Broadcom AI chip gross margins 300-500bps.

What makes Broadcom Limited unique

  • Custom AI chips for Google, Meta, Anthropic, OpenAI reduce hyperscaler dependence on Nvidia.
  • VMware Cloud Foundation 9.1 cuts AI server costs 40% and Kubernetes expenses 46%.
  • Supports AMD, Intel, Nvidia hardware, enabling multi-vendor private cloud AI deployments.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

401(k) Company Match

Employee Stock Purchase Plan

Employee Assistance Program

Paid Vacation

Paid Sick Leave

Paid Holidays

Growth & Insights and Company News

Headcount

6 month growth

0%

1 year growth

0%

2 year growth

0%
Yahoo Finance
Apr 14th, 2026
Meta partners with Broadcom for custom AI chips through 2029

Meta and Broadcom have announced a strategic partnership under which the chipmaker will provide technology supporting Meta's training and inference accelerator chips through 2029. The deal extends Meta's custom AI chip development plans as the social media giant continues to invest in artificial intelligence infrastructure.

CNBC
Apr 14th, 2026
Meta commits to 1 gigawatt of custom AI chips with Broadcom through 2029

Meta and Broadcom have announced an extended partnership through 2029 for designing Meta's custom AI accelerators. Meta has committed to deploying one gigawatt of its training and inference accelerators under the agreement. The deal expands an existing collaboration between the two companies focused on Meta's in-house chip development. As part of the arrangement, Broadcom CEO Hock Tan has agreed to leave Meta's board of directors. Broadcom shares rose 3% in extended trading following the announcement. The partnership underscores Meta's continued investment in custom silicon to power its artificial intelligence infrastructure and reduce reliance on third-party chip suppliers.

The Associated Press
Apr 14th, 2026
Meta and Broadcom partner on industry-first 2nm AI chip with multi-gigawatt rollout

Broadcom and Meta have announced a multi-year strategic partnership to support Meta's AI compute infrastructure through 2029. The collaboration centres on Meta Training and Inference Accelerator (MTIA) chips, with an initial deployment exceeding one gigawatt as part of a sustained multi-gigawatt rollout. The partnership will deliver what the companies call the industry's first 2nm AI compute accelerator. Broadcom will provide its XPU platform for chip co-development and advanced Ethernet technologies for networking across Meta's expanding AI compute clusters. The technology will underpin Meta's deployment of generative AI features across WhatsApp, Instagram and Threads. Meta aims to deliver what it calls "personal superintelligence" to billions of users globally. Broadcom CEO Hock Tan will transition from Meta's board to an advisory role focusing on Meta's custom silicon roadmap.

Yahoo Finance
Apr 12th, 2026
AI hardware stocks show strong financial performance despite bubble fears

A Motley Fool survey found that 41% of investors believe AI stock prices have reached speculative levels and are likely in a bubble. However, recent financial results from leading AI hardware companies suggest otherwise. Nvidia's sales rose 73% to $68.1 billion in Q4 2026, with non-GAAP earnings per share up 82%. TSMC's earnings increased 35% and revenue jumped 21% to $33.7 billion in Q4 2025. Broadcom's sales grew 29% to $19.3 billion, with non-GAAP earnings per share rising 28% in Q1 2026. Each company holds dominant market positions: Nvidia controls 86% of the AI data centre processor market, TSMC manufactures 70% of the world's processors, and Broadcom is estimated to hold 60% of the application-specific integrated circuit market by next year.

Yahoo Finance
Apr 12th, 2026
Nvidia up 36% in 2025, Broadcom up 50%: Is it too late to buy?

Nvidia and Broadcom, two leading AI computing companies, have delivered strong returns in 2025, with Nvidia up 36% and Broadcom rising over 50%. Despite these gains, both companies continue to show robust growth that suggests further upside potential. Nvidia dominates the GPU market, whilst Broadcom specialises in custom AI chips for standardised workloads. In its latest quarter, Broadcom's AI semiconductor revenue surged 106% to $8.4 billion, with management projecting its custom AI chips business will generate $100 billion or more by the end of 2027. Nvidia reported 73% growth in its most recent quarter, with management forecasting 77% growth for the next period. The strong performance from both companies reflects sustained demand for AI computing infrastructure.

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